Three AI Models Achieve Near-Perfect Design Scores With ReadyAI (SN33) Skill

ReadyAI (SN33) has demonstrated how a single specialized AI skill can significantly improve AI-generated designs. In a recent test, three AI models achieved near-perfect scores when creating LinkedIn-style carousels.

ReadyAI (SN33) operates a network that converts unstructured data into AI-ready formats. It also generates specialized skills that help AI models perform specific tasks more effectively.

The demonstration involved creating a carousel based on a UK hybrid working survey of 3,200 office workers. Three AI models completed the same assignment, first without ReadyAI’s social-carousel skill and then with it.

How the Three AI Models Performed

The results showed significant improvements across all three models, with two achieving perfect scores after applying the skill.

Without the skill, the designs suffered from overlapping text, poor spacing, unreadable fonts, and inconsistent layouts. With the skill, the models produced cleaner designs featuring professional typography, properly arranged charts, and consistent branding.

How ReadyAI’s Skills Work

AI skills provide specialized instructions and resources that help models perform specific tasks more effectively.

ReadyAI’s social-carousel skill guides models through design requirements such as spacing, typography, and visual hierarchy without requiring additional model training.

SN33 previously reported similar improvements in slide generation, where average quality scores increased from 24 to 94 out of 100.

What’s Next for ReadyAI?

ReadyAI plans to launch Skills Store 33 (SS33), making specialized, tested AI skills accessible to developers and AI agents. The platform will build on its existing Jobs API, which allows customers to pay in USDC for data structuring and skill generation services.

This enables smaller, less expensive AI models to deliver higher-quality results across design, coding, and automation. The upcoming Skills Store will test whether these improvements can translate into widespread adoption.